Shubham Baburao Shingare
$50/hr
I design and develop backend systems and data pipelines using Python and Google Cloud Platform.
SHUBHAM BABURAO SHINGARE
📍 Pune, India
| 📞 - | ✉️-🔗 https://www.linkedin.com/in/shingareshubham/
TECHNICAL SKILLS
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Programming Languages: Python, Shell Script
Cloud Platforms: Google Cloud Platform: Cloud Storage, BigQuery, Bigtable, Cloud SQL, Cloud
Run, Cloud Functions, Cloud Composer, Cloud IAM, Secret Manager
Database Technologies: MySQL, PostgreSQL, SQL, Redis
Data Pipeline & Orchestration: Apache Airflow (Cloud Composer), GCP Dataflow, Pub/Sub
Containerization & Orchestration: Docker, Kubernetes
DevOps & CI/CD: Container Registry, Artifact Registry, Git, VSTS
Frameworks & Libraries: Django, Pandas, RESTful APIs, Pytest
Frontend Technologies: HTML, Bootstrap
PROFESSIONAL EXPERIENCE
Total System Services (TSYS), Pune
Senior Software Engineer (May 2021 - Present)
● Developed a high-performance tokenization engine (1000+ TPS) using Python async APIs,
multiprocessing, and Bigtable caching.
● Migrated legacy ETL workflows to GCP using Airflow, BigQuery, Pub/Sub, and Dataflow.
● Implemented encryption & compliance with PGP and CMEK for secure, PCI-DSS-aligned data
handling.
● Deployed scalable, fault-tolerant microservices via Docker, Cloud Run, and Kubernetes (GKE)
● Reduced cloud costs and boosted efficiency by 30–50% with optimized processing and CI/CD
pipelines.
Go Digit General Insurance, Pune
Python Developer (Nov 2019 - Apr 2021)
● Automated data extraction and standardization using Python libraries like Selenium, Pandas, and
Requests, enhancing data processing efficiency.
● Designed and implemented RESTful APIs and backend systems with Django and PostgreSQL,
optimizing data access and application performance.
● Used pytest framework for simple unit tests as well as complex functional tests.
● Successfully managed and delivered multiple concurrent projects on time and within scope.
eClerx Private Limited, Pune
Data Analyst (Jul 2018 - Nov 2019)
● Developed a robust web crawling system with Python and Selenium, significantly improving data
extraction capabilities.
● Executed data analysis and cleaning using Pandas and MySQL, ensuring high-quality data for business
processes.
● Built scalable backend frameworks using Django, enhancing data integration and system performance.
EDUCATION
Bachelor’s Degree in Computer Engineering (First Class with Distinction)
Savitribai Phule Pune University
2014 - 2017
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ACHIEVEMENTS
Received the highest appraisal rating, 'Exceeded Expectations' consistently at TSYS.
● Awarded 'Circle of Excellence 2023' at TSYS for outstanding contributions.
● Honored with the 'Tech-Titans Award' at Go Digit for innovative solutions.
● Earned a ‘Business Process Improvement’ Certificate from eClerx for process optimization.
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PROJECT HIGHLIGHTS
1. Cloud-Native Tokenization & ETL Platform for Sensitive Data (Built from Scratch)
Designed and developed a comprehensive cloud-native system from scratch to tokenize sensitive cardholder
data and manage secure ETL pipelines at scale, fully compliant with PCI-DSS standards. The system
seamlessly replaced legacy on-premise architecture with a modern, high-performance solution on Google
Cloud Platform, achieving low-latency processing and end-to-end data security.
Key Highlights:
Built a high-throughput tokenization engine capable of handling over 1,000 Transactions Per Second
(TPS) using asynchronous API calls, multiprocessing, and Bigtable-based caching to minimize latency
and redundant requests.
● Designed a secure and scalable ETL framework to extract, transform, and load large volumes of
sensitive data into BigQuery, replacing tools like Control-M and Ab Initio with Cloud Composer
(Airflow) and native GCP services.
● Integrated data encryption mechanisms using PGP and Customer Managed Encryption Keys (CMEK)
for compliance and secure storage in Cloud Storage.
● Built and deployed microservices in Dockerized environments using Cloud Run and Kubernetes
Engine (GKE) to ensure scalability and fault-tolerance.
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Key Contributions:
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Asynchronous Tokenization API: Built using aiohttp + asyncio for non-blocking, high-speed
tokenization.
Multiprocessing Framework: Leveraged native Python multiprocessing to process large workloads
efficiently.
Caching Layer: Designed a high-speed cache with Bigtable to reduce repeat tokenization calls by
50–70%.
Secure ETL Pipelines: Migrated and optimized end-to-end data flows to BigQuery using Airflow
DAGs, Pub/Sub, and Dataflow.
Security Layer: Integrated encryption and key management to protect sensitive card data across storage
and transit.
Tech Stack:
Python, Asyncio, Aiohttp, Multiprocessing, Airflow (Cloud Composer), BigQuery, Bigtable, Pub/Sub,
Cloud Run, Cloud Storage, Docker, Jenkins, PGP, CMEK, Kubernetes (GKE)
Impact:
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1000+ TPS tokenization with low latency and high reliability.
Reduced cloud costs through optimized caching and parallel processing.
Improved data security and compliance with PCI-DSS via tokenization and encryption.
Accelerated data processing pipelines and eliminated reliance on legacy tools.
Enhanced scalability and performance, supporting continuous data ingestion from diverse sources.
Pune, India |- | Shubham Shingare | Shubham Shingare - TSYS | LinkedIn
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